scale_quantile | R Documentation |
Creates a threshold scale, where threshold breaks are computed from the given quantile
probs
.
Quantile scale legend ticks will be quantile values at each quantile break (including
limits), not the quantile probabilities at each break. This can be overridden in
tick_format
.
Example:
tick_format = function(x) as.character(probs)
.
scale_color_quantile(
col,
palette = scales::viridis_pal(),
na_color = "#000000",
probs = seq.int(0, 1, 0.25),
data = NULL,
tick_format = format_number,
col_label = "{.col}",
legend = TRUE
)
scale_quantile(
col,
range = 0:1,
na_value = 0,
probs = seq.int(0, 1, 0.25),
data = NULL,
col_label = "{.col}",
legend = TRUE
)
col |
< |
palette |
<
A |
na_color |
< |
probs |
< |
data |
< |
tick_format |
< |
col_label |
<
|
legend |
< |
range |
< |
na_value |
< |
As the quantiles are computed from input data, quantile scales are incompatible with
layers that load data from a url (e.g mvt_layer
). If quantiles for remote data are
known, a quantile scale can be constructed manually with scale_threshold()
.
Other scales:
rescale_center()
,
rescale_diverge()
,
scale_category()
,
scale_identity()
,
scale_linear()
,
scale_log()
,
scale_power()
,
scale_quantize()
,
scale_symlog()
,
scale_threshold()
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